Data Science Researcher – AI Platform

• Design, develop, and deploy machine learning models using Python
• Build predictive and classification models using Scikit-learn and other ML frameworks
• Work on advanced AI use cases such as risk prediction, fraud detection, and claims analytics

• Perform deep data analysis using Pandas and NumPy
• Apply statistical techniques for hypothesis testing, forecasting, and trend analysis
• Conduct research to improve model accuracy, interpretability, and performance

• Analyze healthcare datasets, including claims and patient-level data
• Work with EDI formats such as:
• 837 (Healthcare Claim Submission)
• 835 (Payment/Remittance Advice)
• Develop insights related to cost optimization, utilization patterns, and fraud detection

• Validate models using appropriate evaluation metrics and cross-validation techniques
• Collaborate with engineering teams to deploy models into production environments
• Monitor model performance and retrain as needed

• Work closely with product, engineering, and domain experts
• Contribute to AI strategy and research initiatives
• Stay updated with latest advancements in AI and healthcare analytics

• Document methodologies, experiments, and findings
• Present insights and recommendations to stakeholders
• Ensure reproducibility and compliance with data standards

• Strong experience in:
• Machine Learning & AI model development
• Python (Pandas, NumPy, Scikit-learn)
• Solid understanding of statistics and data modeling techniques
• Experience handling large and complex datasets
• Strong problem-solving and analytical thinking

Expertia AI Technologies